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Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Errors associated with NIRS estimations were often one-half as large as the experimental and sampling errors.

Outcome
Errors associated with NIRS estimationse0
Value
one‐halfe0
Comparator
experimental and sampling errorse0

Verbatim

e0

“Errors associated with NIRS estimations were often one‐half as large as the experimental and sampling errors”

✓ located verbatim in the source · abstract, characters 1633–1741

Title

Estimation of Botanical Composition in Alfalfa/Ryegrass Mixtures by Near Infrared Spectroscopy

J. A. Shaffer; G. A. Jung; J. S. Shenk; et al. Agronomy Journal 1990. doi:10.2134/agronj1990.00021962008200040004x

Other claims from this paper (6)
Observationobservedoriginal resultmeasured

Claim · model-written summary

Transplanting errors introduced among-hill variation.

Outcome
variation among hillse0
Qualifier
Transplanting errorse0

Verbatim

e0

“Transplanting errors introduced variation among hills”

✓ located verbatim in the source · abstract, characters 876–929
t0

“Rice”

✓ located verbatim in the source · title, characters 49–53

Title

Spatial and Temporal Variability of Transplanted Rice at the Field Scale

Achim Dobermann; Mirasol F. Pampolino; Heinz‐Ulrich Neue Agronomy Journal 1995. doi:10.2134/agronj1995.00021962008700040018x

Other claims from this paper (13)
Method / resourceobservedoriginal resultpositivesimulated

Claim · model-written summary

System parameters were identified to reduce application errors.

Outcome
application errorse0

Not reportedComparatorValue

Verbatim

e0

“A complement of system parameters was identified to reduce application errors.”

✓ located verbatim in the source · abstract, characters 765–843

Title

A FEASIBILITY STUDY OF DIRECT INJECTION FOR VARIABLE-RATE HERBICIDE APPLICATION

W. Qiu; G. A. Watkins; C. J. Sobolik; et al. Transactions of the ASAE 1998. doi:10.13031/2013.17174

Other claims from this paper (3)
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Model misclassification errors ranged up to 17%.

Outcome
Errors of misclassificatione0
Value
17%e0

Verbatim

e0

“Errors of misclassification for the different models ranged up to 17%”

✓ located verbatim in the source · abstract, characters 808–877
t0

“Peach”

✓ located verbatim in the source · title, characters 41–46

Title

Evaluation of an Optical Measurement for Peach Maturity Sorting

B. L. Upchurch; M. J. Delwiche; D. L. Peterson Applied Engineering in Agriculture 1990. doi:10.13031/2013.26369

Other claims from this paper (4)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Lower impacting mass reduced sensing errors.

Outcome
sensing errorse0
Direction
reducinge0
Comparator
impacting masse0

Verbatim

e0

“lowering the impacting mass results in amplifying the measured signal, reducing sensing errors”

✓ located verbatim in the source · abstract, characters 347–441

Title

Effect of impacting mass on firmness sensing of fruits.

Margarita Ruiz‐Altisent; P. Chen UPM Digital Archive (Technical University of Madrid) 1993

Other claims from this paper (2)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Standard errors for comparisons between S1 lines were smaller when genotypes were treated as random than the standard errors of adjusted means with genotypes as fixed.

Outcome
standard errors for comparisons between linese1
Direction
smallere1
Comparator
adjusted means obtained when genotypes were defined as fixede1

Verbatim

e1

“smaller standard errors for comparisons between lines were obtained when genotypes were defined as random compared to standard errors for adjusted means obtained when genotypes were defined as fixed”

✓ located verbatim in the source · abstract, characters 452–650

Title

Mixed linear model methodology in plant breeding

Sergio Alfredo Rodriguez-Herrera Lincoln (University of Nebraska) 1992

Other claims from this paper (3)
Method / resourceobservedoriginal resultnegativemeasured

Claim · model-written summary

APSIM yield predictions were sensitive to water balance carryover errors, sometimes causing large relative yield errors.

Outcome
predicted relative yieldse1
Qualifier
in some seasons large errorse1
Comparator
water balancee1

Not reportedDirection

Verbatim

e0

“growth of a wheat crop”

✓ located verbatim in the source · abstract, characters 924–946
e1

“Yield predictions with APSIM were sensitive to carry-over errors in the water balance from one season to the next, so that in some seasons large errors occurred in the predicted relative yields.”

✓ located verbatim in the source · abstract, characters 1860–2054

Title

Modelling water, nitrogen, and crop yield for a long-term fallow management experiment

ME Probert; BA Keating; JP Thompson; et al. Australian Journal of Experimental Agriculture 1995. doi:10.1071/ea9950941

Other claims from this paper (7)
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

In second validation, 54% of scenarios had errors within 10%.

Taxon
SOYBEANGlycine maxt0
Outcome
errors within 10%e0
Value
54%e0

Verbatim

e0

“54% of the validation scenarios had errors within 10%”

✓ located verbatim in the source · abstract, characters 2127–2180
t0

“SOYBEAN RUST”

✓ located verbatim in the source · title, characters 36–48

Title

DEVELOPMENT OF A NEURAL NETWORK FOR SOYBEAN RUST EPIDEMICS

W. D. Batchelor; X. B. Yang; A. T. Tschanz Transactions of the ASAE 1997. doi:10.13031/2013.21237

Other claims from this paper (9)
Associationobservedoriginal resultmeasured

Claim · model-written summary

Mass loss measurement errors were greatest at lower mass losses.

Taxon
birche1
Outcome
errorse0
Direction
greateste0
Comparator
lower mass lossese0

Verbatim

e0

“Such errors are greatest at lower mass losses.”

✓ located verbatim in the source · abstract, characters 648–694
e1

“birch blocks contained 31.3% fungal biomass”

✓ located verbatim in the source · abstract, characters 344–387

Title

Fungal biomass in decayed wood

Heather L. Jones; James J. Worrall Mycologia 1995. doi:10.1080/00275514.1995.12026555

Other claims from this paper (4)
Method / resourceobservedoriginal resultsimulated

Claim · model-written summary

Multi layer models avoid these errors.

Outcome
These errorse0
Direction
avoidede0
Comparator
multi‐layer modelse0

Not reportedTaxon

Verbatim

e0

“These errors are avoided in models that treat the canopy in terms of a number of layers – the multi‐layer models.”

✓ located verbatim in the source · abstract, characters 765–878

Title

Simple scaling of photosynthesis from leaves to canopies without the errors of big‐leaf models

D. G. G. DE PURY; G. D. FARQUHAR Plant Cell & Environment 1997. doi:10.1111/j.1365-3040.1997.00094.x

Other claims from this paper (3)

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